This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
In this paper, an immune-inspired model, named IA-AIS (Innate and Adaptive Artificial Immune System) is proposed and applied to the problem of identification of unsolicited bulk e...
Thiago S. Guzella, Tomaz A. Mota-Santos, Joaquim Q...
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
The sophistication of modern computer malware demands run-time malware detection strategies which are not only efficient but also robust to obfuscation and evasion attempts. In thi...
Salman Manzoor, M. Zubair Shafiq, S. Momina Tabish...
l invaders in the form of pathogens. In this research, and abstract model of DC behaviour is developed and subsequently used to form an algorithm, the DCA. The abstraction process ...